Text Image Interpretation
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Text Image Interpretation
Author | : Alastair J. Minnis,Jane Roberts |
Publsiher | : Brepols Publishers |
Total Pages | : 608 |
Release | : 2007 |
Genre | : Literary Criticism |
ISBN | : UOM:39015073928817 |
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. From dark corners of brilliant minds come the best mysteries and thrillers of our time. This book focuses on the detective fiction of Georges Simenon. Project Webster represents a new publishing paradigm, allowing disparate content sources to be curated into cohesive, relevant, and informative books. To date, this content has been curated from Wikipedia articles and images under Creative Commons licensing, although as Project Webster continues to increase in scope and dimension, more licensed and public domain content is being added. We believe books such as this represent a new and exciting lexicon in the sharing of human knowledge.
Machine Learning and Image Interpretation
Author | : Terry Caelli,Walter F. Bischof |
Publsiher | : Springer Science & Business Media |
Total Pages | : 441 |
Release | : 2013-11-21 |
Genre | : Technology & Engineering |
ISBN | : 9781489918161 |
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In this groundbreaking new volume, computer researchers discuss the development of technologies and specific systems that can interpret data with respect to domain knowledge. Although the chapters each illuminate different aspects of image interpretation, all utilize a common approach - one that asserts such interpretation must involve perceptual learning in terms of automated knowledge acquisition and application, as well as feedback and consistency checks between encoding, feature extraction, and the known knowledge structures in a given application domain. The text is profusely illustrated with numerous figures and tables to reinforce the concepts discussed.
Aerial Photography and Image Interpretation
Author | : David P. Paine,James D. Kiser |
Publsiher | : John Wiley & Sons |
Total Pages | : 664 |
Release | : 2003-04-25 |
Genre | : Fiction |
ISBN | : 0471204897 |
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Table of contents
Remote Sensing and Image Interpretation
Author | : Thomas M. Lillesand,Ralph W. Kiefer,Jonathan W. Chipman |
Publsiher | : John Wiley & Sons |
Total Pages | : 838 |
Release | : 2004 |
Genre | : Science |
ISBN | : UOM:39015058127443 |
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From recent developments in digital image processing to the next generation of satellite systems, this book provides a comprehensive introduction to the field of remote sensing and image interpretation. This book is discipline neutral, so readers in any field of study can gain a clear understanding of these systems and their virtually unlimited applications. * The authors underscore close interactions among the related areas of remote sensing, GIS, GPS, digital image processing, and environmental modeling. * Appendices include material on sources of remote sensing data and information, remote sensing periodicals, online glossaries, and online tutorials.
Document Image Analysis
Author | : K.C. Santosh |
Publsiher | : Springer |
Total Pages | : 174 |
Release | : 2018-09-18 |
Genre | : Computers |
ISBN | : 9789811323393 |
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The book focuses on one of the key issues in document image processing – graphical symbol recognition, which is a sub-field of the larger research domain of pattern recognition. It covers several approaches: statistical, structural and syntactic, and discusses their merits and demerits considering the context. Through comprehensive experiments, it also explores whether these approaches can be combined. The book presents research problems, state-of-the-art methods that convey basic steps as well as prominent techniques, evaluation metrics and protocols, and research standpoints/directions that are associated with it. However, it is not limited to straightforward isolated graphics (visual patterns) recognition; it also addresses complex and composite graphical symbols recognition, which is motivated by real-world industrial problems.
Deep Learning for Medical Image Analysis
Author | : S. Kevin Zhou,Hayit Greenspan,Dinggang Shen |
Publsiher | : Academic Press |
Total Pages | : 458 |
Release | : 2017-01-18 |
Genre | : Computers |
ISBN | : 9780128104095 |
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Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component have been applied to medical image detection, segmentation and registration, and computer-aided analysis, using a wide variety of application areas. Deep Learning for Medical Image Analysis is a great learning resource for academic and industry researchers in medical imaging analysis, and for graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis. Covers common research problems in medical image analysis and their challenges Describes deep learning methods and the theories behind approaches for medical image analysis Teaches how algorithms are applied to a broad range of application areas, including Chest X-ray, breast CAD, lung and chest, microscopy and pathology, etc. Includes a Foreword written by Nicholas Ayache
Image Analysis Applications
Author | : Rangacha Kasturi |
Publsiher | : CRC Press |
Total Pages | : 462 |
Release | : 1990-05-25 |
Genre | : Science |
ISBN | : 0824781988 |
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Document-analysis systems and techniques. Agraphics-recognition system for interpretation of line drawings. Automation recognition of engineering drawings and maps. Image-analysis techniques for geographic information systems. Digital image processing and tree-dimensional reconstruction in the basic neurociences. Applying digital processing methods in the analysis of retinal structure. Visual percepition using a Blackbord architeture. Analysis of high-resolution aerial images. Image formation and characterization for tree-dimensional vision. Enhancement of fingerprints using digital and optical techniques. The digital morphological sampling theorem.
Innovations in Intelligent Image Analysis
Author | : Halina Kwasnicka,Lakhmi C Jain |
Publsiher | : Springer |
Total Pages | : 312 |
Release | : 2011-02-17 |
Genre | : Technology & Engineering |
ISBN | : 9783642179341 |
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This book presents an introduction to new and important research in the images processing and analysis area. It is hoped that this book will be useful for scientists and students involved in many aspects of image analysis. The book does not attempt to cover all of the aspects of Computer Vision, but the chapters do present some state of the art examples.